Long Trade on API3 21 Jul 2025 at 18:23:15
Take profit at 0.9409 (2.65 %) and Stop Loss at 0.9004 (1.77 %)
Long Trade on API3 21 Jul 2025 at 18:23:15
Take profit at 0.9409 (2.65 %) and Stop Loss at 0.9004 (1.77 %)
Position size of 451.9031 $
Take profit at 0.9409 (2.65 %) and Stop Loss at 0.9004 (1.77 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.53 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.42 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.174681 |
Indicators:
117549
-0.0024707
117259
0.174681
117914
-0.00639362
117161
118217
-0.00810884
117259
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 21 Jul 2025 18:23:15 |
21 Jul 2025 20:00:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.9166 | 0.9004 | 0.9409 | 1.5 | 0.2934 |
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 = 0.9004 - 0.9166 = -0.0162
Récompense (distance jusqu'au take profit):
E - TP = 0.9166 - 0.9409 = -0.0243
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0243 / -0.0162 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 451.9031 | 100 | 493.0211 | 4.52 |
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 / -0.0162 = -493.83
Taille de position USD = -493.83 x 0.9166 = -452.64
Donc, tu peux acheter -493.83 avec un stoploss a 0.9004
Avec un position size USD de -452.64$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -493.83 x -0.0162 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -493.83 x -0.0243 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 2.65 % | 11.98 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.77 % | 7.99 $ |
| PNL | PNL % |
|---|---|
| -7.99 $ | -1.77 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -2.1274 % | 120.37 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.9409
[entry_price] => 0.9166
[stop_loss] => 0.89878
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-21 20:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.9409
[entry_price] => 0.9166
[stop_loss] => 0.89716
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-21 20:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.9409
[entry_price] => 0.9166
[stop_loss] => 0.89554
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-21 20:45:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.9409
[entry_price] => 0.9166
[stop_loss] => 0.8923
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-21 20:50:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0013000000000001
[max_drawdown] => 0.0197
[rr_ratio] => 0.07
[high] => 0.91790000
[low] => 0.89690000
[mfe_pct] => 0.14
[mae_pct] => 2.15
[mfe_mae_ratio] => 0.07
[candles_analyzed] => 24
[start_at] => 2025-07-21T18:23:15-04:00
[end_at] => 2025-07-21T20:23:15-04:00
)
[long_term] => Array
(
[max_gain] => 0.0013000000000001
[max_drawdown] => 0.0627
[rr_ratio] => 0.02
[high] => 0.91790000
[low] => 0.85390000
[mfe_pct] => 0.14
[mae_pct] => 6.84
[mfe_mae_ratio] => 0.02
[candles_analyzed] => 72
[start_at] => 2025-07-21T18:23:15-04:00
[end_at] => 2025-07-22T00:23:15-04:00
)
[breakout] => Array
(
[high_before] => 1.02440000
[high_after] => 0.91790000
[low_before] => 0.91280000
[low_after] => 0.85390000
[is_new_high] =>
[is_new_low] =>
)
)