Long Trade on GRIFFAIN 18 May 2025 at 15:05:44
Take profit at 0.1092 (3.41 %) and Stop Loss at 0.1032 (2.27 %)
Long Trade on GRIFFAIN 18 May 2025 at 15:05:44
Take profit at 0.1092 (3.41 %) and Stop Loss at 0.1032 (2.27 %)
Position size of 350.6759 $
Take profit at 0.1092 (3.41 %) and Stop Loss at 0.1032 (2.27 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.6 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.47 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.437587 |
Indicators:
104698
-0.000953443
104599
0.437587
104042
0.00534521
104599
103558
0.0100463
104599
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 18 May 2025 15:05:44 |
18 May 2025 15:30:00 |
24 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1056 | 0.1032 | 0.1092 | 1.5 | 0.00917 |
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:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.1032 - 0.1056 = -0.0024
Récompense (distance jusqu'au take profit):
E - TP = 0.1056 - 0.1092 = -0.0036
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0036 / -0.0024 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 350.6759 | 100 | 3321.1094 | 3.51 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
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:
Taille de position = 8 / -0.0024 = -3333.33
Taille de position USD = -3333.33 x 0.1056 = -352
Donc, tu peux acheter -3333.33 avec un stoploss a 0.1032
Avec un position size USD de -352$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -3333.33 x -0.0024 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -3333.33 x -0.0036 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 3.41 % | 11.96 $ |
| SL % Target | SL $ Target |
|---|---|
| 2.27 % | 7.97 $ |
| PNL | PNL % |
|---|---|
| -7.97 $ | -2.27 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -2.8409090909091 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1092
[entry_price] => 0.1056
[stop_loss] => 0.10296
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-18 15:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1092
[entry_price] => 0.1056
[stop_loss] => 0.10272
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-18 15:30:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1092
[entry_price] => 0.1056
[stop_loss] => 0.10248
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-18 15:50:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1092
[entry_price] => 0.1056
[stop_loss] => 0.102
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-18 16:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00099
[max_drawdown] => 0.00742
[rr_ratio] => 0.13
[high] => 0.10659000
[low] => 0.09818000
[mfe_pct] => 0.94
[mae_pct] => 7.03
[mfe_mae_ratio] => 0.13
[candles_analyzed] => 24
[start_at] => 2025-05-18T15:05:44-04:00
[end_at] => 2025-05-18T17:05:44-04:00
)
[long_term] => Array
(
[max_gain] => 0.00832
[max_drawdown] => 0.00742
[rr_ratio] => 1.12
[high] => 0.11392000
[low] => 0.09818000
[mfe_pct] => 7.88
[mae_pct] => 7.03
[mfe_mae_ratio] => 1.12
[candles_analyzed] => 72
[start_at] => 2025-05-18T15:05:44-04:00
[end_at] => 2025-05-18T21:05:44-04:00
)
[breakout] => Array
(
[high_before] => 0.11874000
[high_after] => 0.11392000
[low_before] => 0.10457000
[low_after] => 0.09818000
[is_new_high] =>
[is_new_low] =>
)
)