Long Trade on SYRUP 17 May 2025 at 16:20:46
Take profit at 0.3651 (1.33 %) and Stop Loss at 0.3571 (0.89 %)
Long Trade on SYRUP 17 May 2025 at 16:20:46
Take profit at 0.3651 (1.33 %) and Stop Loss at 0.3571 (0.89 %)
Position size of 900.3551 $
Take profit at 0.3651 (1.33 %) and Stop Loss at 0.3571 (0.89 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.51 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.41 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.319994 |
Indicators:
103006
0.00065173
103074
0.319994
103178
-0.00101259
103074
103434
-0.00347978
103074
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 17 May 2025 16:20:46 |
17 May 2025 16:30:00 |
9 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.3603 | 0.3571 | 0.3651 | 1.5 | 0.2398 |
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 = 0.3571 - 0.3603 = -0.0032
Récompense (distance jusqu'au take profit):
E - TP = 0.3603 - 0.3651 = -0.0048
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0048 / -0.0032 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 900.3551 | 100 | 2498.904 | 9.00 |
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 / -0.0032 = -2500
Taille de position USD = -2500 x 0.3603 = -900.75
Donc, tu peux acheter -2500 avec un stoploss a 0.3571
Avec un position size USD de -900.75$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -2500 x -0.0032 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -2500 x -0.0048 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.33 % | 11.99 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.89 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8 $ | -0.89 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.4432417429919 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.3651
[entry_price] => 0.3603
[stop_loss] => 0.35678
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-17 16:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.3651
[entry_price] => 0.3603
[stop_loss] => 0.35646
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-17 16:30:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.3651
[entry_price] => 0.3603
[stop_loss] => 0.35614
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-17 16:30:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.3651
[entry_price] => 0.3603
[stop_loss] => 0.3555
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-17 16:30:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => -0.0015
[max_drawdown] => 0.0224
[rr_ratio] => -0.07
[high] => 0.35880000
[low] => 0.33790000
[mfe_pct] => -0.42
[mae_pct] => 6.22
[mfe_mae_ratio] => -0.07
[candles_analyzed] => 24
[start_at] => 2025-05-17T16:20:46-04:00
[end_at] => 2025-05-17T18:20:46-04:00
)
[long_term] => Array
(
[max_gain] => -0.0015
[max_drawdown] => 0.0224
[rr_ratio] => -0.07
[high] => 0.35880000
[low] => 0.33790000
[mfe_pct] => -0.42
[mae_pct] => 6.22
[mfe_mae_ratio] => -0.07
[candles_analyzed] => 72
[start_at] => 2025-05-17T16:20:46-04:00
[end_at] => 2025-05-17T22:20:46-04:00
)
[breakout] => Array
(
[high_before] => 0.37790000
[high_after] => 0.35880000
[low_before] => 0.35580000
[low_after] => 0.33790000
[is_new_high] =>
[is_new_low] =>
)
)