Long Trade on FLOKI
The 27 Mar 2025 at 01:24:54
With 16648150.389 FLOKI at 7.155E-5$ per unit.
Position size of 1191.1752 $
Take profit at 7.227E-5 (1.01 %) and Stop Loss at 7.107E-5 (0.67 %)
That's a 1.5 RR TradeTrade
buy - FLOKI
Status
loss
2025-03-27 01:24:54
1 hour
PNL
-0.67
Entry: 7.155E-5
Last: 0.00007107
Results
Status:
loss
Trade Type:
buy
Prediction Score:
| Prediction 1 | Probability |
|---|---|
|
|
n/a |
| Prediction 2 | Probability |
|---|---|
| n/a |
| Prediction 3 | Probability |
|---|---|
| n/a |
ML Trade Score: -100
ML Pullback Score: 0.51
📌 Similar Trades
Similar Trade Score: -48.89 %
📌 Time Data
| Start at | Closed at | Duration |
|---|---|---|
| 27 Mar 2025 01:24:54 |
27 Mar 2025 02:50:00 |
1 hour |
📌 Entry & Exit
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 7.155E-5 | 7.107E-5 | 7.227E-5 | 1.5 | 0.0001067 |
Details
Click the "Sign Up" button in the top right corner and follow the registration process.
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
- Entry 7.155E-5
- Stop Loss: 7.107E-5
- Take Profit: 7.227E-5
Calcul:
-
Risque (distance jusqu'au stop loss) :
SL - E = 7.107E-5 - 7.155E-5 = -4.8000000000001E-7
-
Récompense (distance jusqu'au take profit):
E - TP = 7.155E-5 - 7.227E-5 = -7.1999999999999E-7
-
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -7.1999999999999E-7 / -4.8000000000001E-7 = 1.5
📌 Position Size
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1191.1752 | 1191.1752 | 16648150.389 | 11.91 |
Details
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
- Account Size 100
- Risk per trade 8 %
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
- Risk Amount 8
- Distance Stop Loss -4.8000000000001E-7
Taille de position = 8 / -4.8000000000001E-7 = -16666666.67
Taille de position USD = -16666666.67 x 7.155E-5 = -1192.5
Donc, tu peux acheter -16666666.67 avec un stoploss a 7.107E-5
Avec un position size USD de -1192.5$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -16666666.67 x -4.8000000000001E-7 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -16666666.67 x -7.1999999999999E-7 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
- Taille de position -16666666.67
- Taille de position USD -1192.5
- Perte potentielle 8
- Gain potentiel 12
- Risk-Reward Ratio 1.5
📌 Peformances
| TP % Target | TP $ Target |
|---|---|
| 1.01 % | 11.99 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.67 % | 7.99 $ |
| PNL | PNL % |
|---|---|
| -7.99 $ | -0.67 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| 0 % | 0 % | 0 |
📌 ML Extra Data
Extra TP Data
Array
(
)
Extra SL data
Array
(
[1.1] => Array
(
[take_profit] => 7.227E-5
[entry_price] => 7.155E-5
[stop_loss] => 7.1022E-5
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-03-27 02:50:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 7.227E-5
[entry_price] => 7.155E-5
[stop_loss] => 7.0974E-5
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-03-27 02:50:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 7.227E-5
[entry_price] => 7.155E-5
[stop_loss] => 7.0926E-5
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-03-27 02:50:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 7.227E-5
[entry_price] => 7.155E-5
[stop_loss] => 7.083E-5
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-03-27 02:50:00
[result] => loss
)
)
Extra Pullback data
Array
(
[short_term] => Array
(
[max_gain] => 4.0E-7
[max_drawdown] => 1.0E-6
[rr_ratio] => 0.4
[high] => 0.00007195
[low] => 0.00007083
[mfe_pct] => 0.56
[mae_pct] => 1.01
[mfe_mae_ratio] => 0.56
[candles_analyzed] => 24
[start_at] => 2025-03-27T01:24:54-04:00
[end_at] => 2025-03-27T03:24:54-04:00
)
[long_term] => Array
(
[max_gain] => 4.0E-7
[max_drawdown] => 1.25E-6
[rr_ratio] => 0.32
[high] => 0.00007195
[low] => 0.00007030
[mfe_pct] => 0.56
[mae_pct] => 1.75
[mfe_mae_ratio] => 0.32
[candles_analyzed] => 72
[start_at] => 2025-03-27T01:24:54-04:00
[end_at] => 2025-03-27T07:24:54-04:00
)
[breakout] => Array
(
[high_before] => 0.00007312
[high_after] => 0.00007195
[low_before] => 0.00007078
[low_after] => 0.00007030
[is_new_high] =>
[is_new_low] =>
)
)